TY  - JOUR
A1  - Förstner, Bernd Rainer
A1  - Böttger, Sarah Jane
A1  - Moldavski, Alexander
A1  - Bajbouj, Malek
A1  - Pfennig, Andrea
A1  - Manook, Andre
A1  - Ising, Marcus
A1  - Pittig, Andre
A1  - Heinig, Ingmar
A1  - Heinz, Andreas
A1  - Mathiak, Klaus
A1  - Schulze, Thomas G.
A1  - Schneider, Frank
A1  - Kamp-Becker, Inge
A1  - Meyer-Lindenberg, Andreas
A1  - Padberg, Frank
A1  - Banaschewski, Tobias
A1  - Bauer, Michael
A1  - Rupprecht, Rainer
A1  - Wittchen, Hans-Ulrich
A1  - Rapp, Michael A.
A1  - Tschorn, Mira
T1  - The associations of positive and negative valence systems, cognitive systems and social processes on disease severity in anxiety and depressive disorders
JF  - Frontiers in psychiatry
N2  - Background   Anxiety and depressive disorders share common features of mood dysfunctions. This has stimulated interest in transdiagnostic dimensional research as proposed by the Research Domain Criteria (RDoC) approach by the National Institute of Mental Health (NIMH) aiming to improve the understanding of underlying disease mechanisms. The purpose of this study was to investigate the processing of RDoC domains in relation to disease severity in order to identify latent disorder-specific as well as transdiagnostic indicators of disease severity in patients with anxiety and depressive disorders. 

Methods   Within the German research network for mental disorders, 895 participants (n = 476 female, n = 602 anxiety disorder, n = 257 depressive disorder) were recruited for the Phenotypic, Diagnostic and Clinical Domain Assessment Network Germany (PD-CAN) and included in this cross-sectional study. We performed incremental regression models to investigate the association of four RDoC domains on disease severity in patients with affective disorders: Positive (PVS) and Negative Valance System (NVS), Cognitive Systems (CS) and Social Processes (SP). 

Results   The results confirmed a transdiagnostic relationship for all four domains, as we found significant main effects on disease severity within domain-specific models (PVS: & beta; = -0.35; NVS: & beta; = 0.39; CS: & beta; = -0.12; SP: & beta; = -0.32). We also found three significant interaction effects with main diagnosis showing a disease-specific association. 

Limitations   The cross-sectional study design prevents causal conclusions. Further limitations include possible outliers and heteroskedasticity in all regression models which we appropriately controlled for. 

Conclusion   Our key results show that symptom burden in anxiety and depressive disorders is associated with latent RDoC indicators in transdiagnostic and disease-specific ways.
KW  - Research Domain Criteria
KW  - depression
KW  - anxiety disoders
KW  - disease severity
KW  - transdiagnostic
KW  - RDoC
Y1  - 2023
U6  - https://doi.org/10.3389/fpsyt.2023.1161097
SN  - 1664-0640
VL  - 14
PB  - Frontiers Research Foundation
CY  - Lausanne
ER  -